Advance Python | Python for Datascience

A Python-Based Datascience Roadmap
4.69 (43 reviews)
Udemy
platform
English
language
Data Science
category
Advance Python | Python for Datascience
128
students
12.5 hours
content
Dec 2023
last update
$64.99
regular price

Why take this course?

🚀 Advance Python | Python for Data Science 📊

Are you ready to elevate your Python skills to the next level? Dive into our comprehensive and engaging Advanced Python course, designed to transform beginners into expert data analysts and data scientists! 🧠✨

Course Overview:

  • Python Mastery: Whether you're just starting out or looking to sharpen your Python skills, this course is your ticket to excellence. It's crafted for learners of all levels with a focus on data analysis, visualization, and machine learning.

Course Curriculum:

  1. Introduction to Python:

    • Dive into Python fundamentals
    • Explore more Python basics to ensure you're well-grounded before moving on to advanced concepts.
  2. Advanced Python Concepts:

    • Master list comprehension and generators for efficient code writing
    • Learn file handling for data manipulation
    • Understand exception handling to prevent crashes
    • Dive into Object-Oriented Programming (OOPs) for modular design
    • Explore decorators and metaclasses to write dynamic and powerful code.
  3. NumPy:

    • Grasp arrays, operations, broadcasting, and vectorization
    • Perform complex mathematical computations with NumPy's extensive functions
    • Learn linear algebra for matrix operations.
  4. Pandas:

    • Get hands-on with Pandas data structures
    • Master data transformation, manipulation, cleaning, and preprocessing
    • Learn to join, merge, and reshape datasets effectively.
  5. Data Visualization:

    • Create advanced static visualizations with Matplotlib
    • Use Seaborn for insightful statistical plots
    • Build interactive visualizations using Plotly
    • Analyze geospatial data to add a geographical dimension to your insights.
  6. Machine Learning with Scikit-learn:

    • Implement linear and logistic regression models
    • Explore support vector machines, decision trees, random forests, and unsupervised learning techniques
    • Learn validation techniques, hyperparameter tuning, and model selection to refine your models.
  7. Case Studies and Projects:

    • Work through real-world case studies like rent prediction and heart disease analysis
    • Segment customers using the skills you've acquired.

Why Choose Our Course? 🏅

  • In-depth Modules: Get a thorough understanding of Python, NumPy, Pandas, Data Visualization, and Machine Learning.
  • Hands-On Learning: Engage with practical case studies that apply your learning in real-world contexts.
  • Expert-led Sessions: Benefit from the knowledge and guidance of industry experts.
  • Unleash Your Potential: Become a proficient Python data analyst and open doors to opportunities in data science and analytics.

📆 Join the Data Science Revolution!

Embark on this journey with us and unlock new career possibilities with every line of code you write. Whether you're aiming for a role as a data analyst or aspiring to dive into the world of machine learning, our course equips you with the tools and knowledge to succeed. 💻🔢

Don't miss out! Enroll in our Advanced Python course today and transform your passion for technology into a career that's as dynamic as it is rewarding. 🚀✨

Course Gallery

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5619382
udemy ID
20/10/2023
course created date
28/12/2023
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